Resources
The library for taking back control of AI ROI.
Audits, comparisons, measurement methods, leaks, and controls: start from the real problem, not from a generic page.
- 24
- resources
- 5
- shelves
Start here
The important pages, directly accessible.
Start here if you need to justify budget, scope an audit, or turn a diagnostic into a decision.
- Priority 01
Find the AI use cases that deserve budget.
A focused audit for leaders who need to prove where AI creates measurable value, where usage is just activity, and what should be funded next.
- Priority 02
How to calculate the real ROI of an AI use case
A practical guide to calculating AI ROI with the right information: baseline, full cost, human review, quality, risk, comparison windows, and funding decisions.
- Priority 03
Cut the AI spend that does not return value.
A spend and tool rationalization audit for teams with overlapping AI tools, unused seats, pilots that never end, and budget that renews by inertia.
- Priority 04
Map the AI your company does not officially control.
A shadow AI and leak audit for organizations where teams use unmanaged prompts, extensions, agents, automations, or copilots with company data.
- Priority 05
AI ROI diagnostic sample report
A public sample report showing the waste index, dominant leak, levers, roadmap, and next-page routing used by the diagnostic.
- Priority 06
State of AI Waste 2026 v1
A transparent report page that explains the Four Leaks model, current diagnostic signal collection, and what the first aggregate dataset will publish.
Primary library
Choose the resource by the decision you need to make.
Audits & offers
Bottom-of-funnel pages for teams ready to diagnose, audit, or scope work.
Find the AI use cases that deserve budget.
A focused audit for leaders who need to prove where AI creates measurable value, where usage is just activity, and what should be funded next.
Cut the AI spend that does not return value.
A spend and tool rationalization audit for teams with overlapping AI tools, unused seats, pilots that never end, and budget that renews by inertia.
Map the AI your company does not officially control.
A shadow AI and leak audit for organizations where teams use unmanaged prompts, extensions, agents, automations, or copilots with company data.
AI spend audit
Find the subscriptions, seats, API calls, and hidden review work that make AI budget impossible to defend.
ROI & measurement
Methods, samples, and report pages for turning AI activity into evidence.
How to calculate the real ROI of an AI use case
A practical guide to calculating AI ROI with the right information: baseline, full cost, human review, quality, risk, comparison windows, and funding decisions.
AI workflow ROI
A page explaining how to calculate AI ROI around the full workflow, including quality, rework, risk, and owner decisions.
AI ROI diagnostic sample report
A public sample report showing the waste index, dominant leak, levers, roadmap, and next-page routing used by the diagnostic.
State of AI Waste 2026 v1
A transparent report page that explains the Four Leaks model, current diagnostic signal collection, and what the first aggregate dataset will publish.
Four Leaks
The four loss patterns behind AI spend without measurable return.
AI spend leak
Diagnose subscriptions, seats, APIs, pilots, and review work that inflate the bill without improving a measured workflow.
AI adoption leak
Separate real workflow improvement from prompt volume, demos, and internal excitement that never reaches a value metric.
Shadow AI leak
Bring hidden tools, data movement, output risk, and vendor dependency back into a visible operating frame.
AI role drift leak
Clarify responsibilities, review loops, skills, and team expectations before AI quietly changes the work nobody owns.
Governance & controls
Practical controls for shadow AI, output quality, SMEs, and stuck pilots.
Shadow AI policy
A practical shadow AI policy page for teams that need safe usage paths instead of abstract prohibition.
AI governance for SMEs
A practical SME governance page that starts with inventory, ownership, data boundaries, and review cadence.
AI output quality review
A page for teams that need quality thresholds, escalation paths, and evidence before AI-assisted work leaves the building.
AI pilot stuck before production
A page for teams with demos, prototypes, or copilots that impressed once but never crossed into governed production.
Tool waste
Pages for dormant seats, duplicate tools, and spend that renews by inertia.
Long-form reads
Foundational articles
The original long-form guides remain available as deeper reading, while the primary library is now organized by need.